{"product_id":"9783030392536","title":"Excel 2019 for Advertising Statistics : A Guide to Solving Practical Problems (2ND)","description":"\u003cp\u003e§16§§Newly revised for Excel 2019, this text is a step-by-step guide for students taking a first course  in statistics for advertising and for advertising managers and  practitioners who want to learn how to use Excel to solve practical  statistics problems in the workplace, whether or not they have taken a  course in statistics.§§Excel 2019 for Advertising Statistics explains  statistical formulas and offers practical examples for how students can  solve real-world advertising statistics problems. Each  chapter offers a concise overview of a topic, and then demonstrates how to use Excel  commands and formulas to solve specific advertising statistics  problems. This book demonstrates how to use Excel 2019 in two different  ways:  (1) writing formulas (e.g., confidence interval about the mean,  one-group t-test, two-group t-test, correlation) and (2) using Excel's  drop-down formula menus (e.g., simple linear regression, multiple  correlation and multiple regression, andone-wa §16§y ANOVA). Three practice  problems are provided at the end of each chapter, along with their  solutions in an appendix. An additional practice test allows readers to  test their understanding of each chapter by attempting to solve a  specific practical advertising statistics problem using Excel; the  solution to each of these problems is also given in an appendix. This latest edition features a wealth of new end-of-chapter problems and an update of the chapter content throughout.§§§ §§ §§ §§ § §04§§§§Preface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.-  One-Group t-Test for the Mean.- 5 Two-Group t-Test of the Difference of the Means for Independent Groups.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A:  Answers to End-of-Chapter Practice Problems.- Appendix B:  Practice Test.- Appendix C:  Answers to Practice Test.- Appendix D:  Statistical Formulas.- Appendix E:  t-table.- Index.§§§§ §02§§ §                §Prof. Thomas J. Quirk is currently a Professor Emeritus of Marketing in The Walker School of Business 〓                § Prof. Eric Rhiney is currently an Associate Professor of Marketing in The Walker School of Business 〓02§ University, and a PhD in Marketing and International Business from St. Louis University. He did marketing research professionally for over ten years engaging in research for companies such as Pizza Hut, Monsanto, Chrysler and Hardee's. He is involved in a number of quantitative research studies focused on in-group out-group orientation on consumer attitudes, digital marketing behavior, and cross-cultural marketing, and he has presented his work at a number of conferences including the American Marketing Association, the International Business Association, and the Marketing Management Association and the UMSL Digital Marketing Conference.§                §\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49663595053304,"sku":"00000_00000_00000_00000","price":107.69,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/kinokuniya.com.au\/products\/9783030392536","provider":"Books Kinokuniya Australia","version":"1.0","type":"link"}